Prognostic factors are associated with the risk of future health outcomes in individuals with a
particular health condition or some clinical start point (eg, a particular diagnosis). Research …

Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …

Prediction models in health care use predictors to estimate for an individual the probability
that a condition or disease is already present (diagnostic model) or will occur in the future …

Background Clinical prediction models should be validated before implementation in clinical
practice. But is favorable performance at internal validation or one external validation …

In prediction model research, external validation is needed to examine an existing model's
performance using data independent to that for model development. Current external …

Most clinical specialties have a plethora of studies that develop or validate one or more
prediction models, for example, to inform diagnosis or prognosis. Having many prediction …

Objective To map and assess prognostic models for outcome prediction in patients with
chronic obstructive pulmonary disease (COPD). Design Systematic review. Data sources …

Objective We aimed to identify machine learning (ML) models for type 2 diabetes (T2DM)
prediction in community settings and determine their predictive performance. Method …

Importance Stroke is the fifth-highest cause of death in the US and a leading cause of
serious long-term disability with particularly high risk in Black individuals. Quality risk …

Introduction Sample size “rules-of-thumb” for external validation of clinical prediction models
suggest at least 100 events and 100 non-events. Such blanket guidance is imprecise, and …